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Column Chromatography to Obtain Organic Cation Sorption Isotherms William C. Jolin, James Sullivan, Dharni Vasudevan, and Allison A MacKay Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.6b01733 • Publication Date (Web): 05 Jul 2016 Downloaded from http://pubs.acs.org on July 6, 2016
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Environmental Science & Technology
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Column Chromatography to Obtain Organic Cation
2
Sorption Isotherms
3
William C. Jolin†, James Sullivanҗ, Dharni Vasudevanҗ, and Allison A. MacKay‡*
4
†
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT
5
06269 җ
6 7
‡
Department of Chemistry, Bowdoin College, Brunswick, ME 04011
Department of Civil, Environmental and Geodetic Engineering, The Ohio State University,
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9
Columbus, OH 43210
ABSTRACT
10
Column chromatography was evaluated as a method to obtain organic cation sorption
11
isotherms for environmental solids while using the peak skewness to identify the linear range of
12
the sorption isotherm. Custom packed HPLC columns and standard batch sorption techniques
13
were used to intercompare sorption isotherms and solid-water sorption coefficients (Kd) for four
14
organic
15
oxytetracycline) with two aluminosilicate clay minerals and one soil. A comparison of
16
Freundlich isotherm parameters revealed isotherm linearity or non-linearity was not significantly
17
different between column chromatography and traditional batch experiments. Importantly,
cations
(benzylamine,
2,4-dichlorobenzylamine,
phenyltrimethylammonium,
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skewness (a metric of eluting peak symmetry) analysis of eluting peaks can establish isotherm
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linearity, thereby enabling a less labor intensive means to generate the extensive datasets of
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linear Kd values required for the development of predictive sorption models. Our findings clearly
21
show that column chromatography can reproduce sorption measures from conventional batch
22
experiments with the benefit of lower labor-intensity, faster analysis times, and allow for
23
consistent sorption measures across laboratories with distinct chromatography instrumentation.
24 25
INTRODUCTION
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Current sorption models, developed for neutral nonpolar compounds (e.g., EPISUITE1),
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greatly underestimate sorption of ionic organic compounds because those models do not account
28
for electrostatic interactions between the sorbate and charged sorbents.2-6 Accurate sorption
29
models are necessary because a growing number of environmental contaminants of interest are
30
charged under environmental pH values, including surfactants, pesticides, antibiotics, and
31
pharmaceutical compounds.6-9 Recently, there has been encouraging progress in the development
32
of new predictive models for ionogenic compounds using polyparameter and computational
33
methods.3,4,10-13 In the case of cationic organic compounds, empirical sorption models using
34
molar volume and amine type (e.g., primary, secondary, or tertiary) show promise for predicting
35
sorption of non-heterocyclic amines of the form CxHyN to aluminosilicate clay minerals, organic
36
matter, and soils.3,4,10,14 Cationic amine compounds with more complex structures require the use
37
of corrective factors, derived from small sets of compounds sharing similar substructures (e.g.,
38
aromatic rings, -Cl). Sorption of structurally complex cations can be described using molecular
39
dynamics models that explicitly account for van der Waals and electrostatic energies of
40
interaction between the sorbate and the surface.12 However, advanced computational tools are
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specialized and not widely available to practitioners. In the absence of comprehensive sorption
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models for organic cations, there is a need for a robust, time-efficient technique to obtain
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sorption isotherms for ionic contaminants of interest and to generate extensive datasets of
44
sorption coefficients (Kd) for predictive model development.5,6,15,16
45
Sorption isotherms are obtained either by batch5,17-20 or column techniques.2,4,21 Batch isotherm
46
measurements consist of mixing the sorbent with an aqueous solution of the compound in a
47
closed reactor. Following sorptive equilibrium, the aqueous phase compound concentration is
48
measured and the sorbed concentration is often calculated from the difference between the initial
49
and final aqueous concentration with normalization to sorbent mass.22 Reactor preparation with
50
different initial solute concentrations allows the paired equilibrium sorbed (Cs, mmol kg-1) and
51
aqueous (Cw, mM) concentrations to be used to create an isotherm (a plot of Cs vs. Cw) for the
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sorbent. The paired Cs and Cw values may be fit with the general Freundlich equation: ܥ௦ = ܭ (ܥௐ )
(1)
53
where Kf (mmol kg-1 mM-n) is the Freundlich sorption coefficient and n is the Freundlich
54
exponent. A sorption coefficient can be obtained for any paired measure of Cs and Cw and is
55
defined as a single-point Kd (L kg-1). ܭௗ =
ܥ௦ ܥ௪
(2)
56
In cases where n ≈ 1, the Freundlich equation (eq 1) simplifies to the sorption coefficient.
57
Single-point Kd values that are constant with Cw are indicative of a linear sorption isotherm.
58
Obtaining sorption isotherms with batch experiments is straightforward, but can be time-
59
consuming and labor-intensive to include sufficient replicates and controls. These factors are
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particularly important for sorption studies with large compound sets and for studies of ionogenic
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compounds that require assessment under many different experimental conditions (i.e., pH, ionic
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strength, competing inorganic solutes).
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Sorption coefficients obtained from column techniques have the advantage of preserving solids
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in their native state.23,24 Column experiments to measure compound sorption are typically
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employed to understand groundwater transport.25 Columns packed with the solid of interest are
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flushed with synthetic groundwater at field flow rates. A step input of the compound of interest
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is introduced to the column and compound breakthrough at the outlet of the column is tracked
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over time. Sorption coefficients are derived from the retention time of the compound transported
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through the column.26 Often, only one input concentration is utilized which can lead to
70
discrepancies between sorption coefficient measurements from column and batch experiments,27-
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29
72
consistency between Kd values obtained from batch and column experiments, the experimental
73
conditions must yield Kd values in the linear range of the sorption isotherm (n = 1) and
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breakthrough curves should be appropriately integrated.30 Further, the wide column diameters (>
75
several cm) typically employed to simulate groundwater transport can lead to disequilibrium
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kinetics as diffusion times to sorption sites are long compared to advective transport through the
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column.31-33 These factors, as well as the need for specialized equipment, have caused column
78
studies to be less favored than batch techniques34 for obtaining sorption isotherms.
particularly when isotherms for that sorbate-sorbent combination are nonlinear (n ≠ 1).30 For
79
Column chromatography, on the other hand, provides an effective means to overcome the
80
disadvantages of both batch and column techniques for obtaining sorption isotherms.35,36 Pulse
81
injections of a compound of known concentration are made to short (several cm length), narrow
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diameter (10s mm) columns that are packed with a mixture of the sorbent of interest and an inert
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non-sorptive solid (e.g., quartz35, SiC36). Compounds are then eluted with a mobile phase of
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known composition using a high-pressure pump. The inert solid restricts movement of small
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sorbent particles within the column so that discrete sorbent particles contact the eluting phase,
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thereby minimizing solid matrix diffusion effects and improving compound access to sorption
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sites. As with large-scale columns, flowrates can still be varied to ensure equilibrium sorption
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conditions and to further minimize kinetic mass transfer effects.35 Sorbent ‘dilution’ with the
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inert sorbent allows the solid-to-water ratio of the sorbent to be varied to balance compound
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separation from a non-retained tracer against dispersive effects which elongate compound
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breakthrough curves. Shorter duration experiments are possible through inline detection of
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compound breakthrough and automated calculation of retention times. Furthermore, the shape of
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the eluting compound peak can provide information about isotherm non-linearity through
94
analysis of peak tailing or fronting.21,31,37-39 Transport of compounds under equilibrium sorption
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conditions with non-linear isotherms will yield peak skewness values that differ from zero:
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tailing (n < 1) gives positive values and fronting (n > 1) gives negative values.21,30 However,
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skewness measures have not been validated as means of indicating isotherm non-linearity for
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column chromatography.
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To date, column chromatography to obtain sorption coefficients has been implemented by only
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a limited number of research groups2,14,35,36,40, few of whom studied ionic sorbate
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compounds.14,41 Droge et al used column chromatography measurements to collect an extensive
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data set of organic cation sorption coefficients to organic matter, clay minerals and soils.3,4,10,14
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Although equilibrium conditions for sorption coefficient measurements have been assessed
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through the constancy of Kd values obtained under varied flow conditions37, direct comparisons
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of isotherms obtained using column chromatography techniques with those from batch
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techniques have only been performed for neutral compounds,40 while intercomparisons of
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column techniques across laboratories have not been undertaken. Ionic compounds are sensitive
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to a number of system parameters, including equilibrium kinetics, eluent composition, and
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sorbate chemistry thus, validation of column chromatography is needed to ensure sorption
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coefficients from different collections means (batch to column, system to system) can be used in
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developing predictive models.
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The purpose of this study was to validate the column chromatography technique for measuring
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sorption isotherms against conventional batch techniques. We examined four organic cations
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with varied extents of isotherm linearity and nonlinearity (n =, >, or < 1) using different
115
environmentally relevant sorbents.
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concentration ranges under which isotherm linearity could be assumed, we examined whether the
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shape of the compound peak eluting from the column chromatography technique (measured as
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skewness) showed regular trends with isotherm nonlinearity measures (i.e., n). Further,
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transferability of the methodology and experimental findings were assessed across two labs with
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distinctly different HPLC systems (U. Connecticut and Bowdoin College). Assessments of
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method robustness are essential for broader adoption of column chromatography as a technique
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for large-scale examination of sorption parameters so the Supplemental Information provides
123
guidance on the implementation of this method in other labs.
Because we were interested ultimately to discern
124 125
METHODS
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Sorbents and chemicals
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Texas Ca-montmorillonite (STx-1) and illite (IMt-1) were obtained from the Clay Minerals
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Society. SiC was from Alfa Aesar. Iredell soil was collected and characterized previously.42
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Sorbate compounds phenyltrimethylammonium (permanently charged), benzylamine (cationic,
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pKa: 9.33), 2,4-dichlorobenzylamine (9.15), and oxytetracycline (zwitterionic, pKa1: 3.27
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(carboxylate, negative charge), pKa2: 7.41 (amine, positive charge)) were from Sigma Aldrich.
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All other chemicals and reagents were ACS grade. Solutions were made with high purity 18.2
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MΩ water (DI water) from a MilliQ system (Waters).
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Batch sorption experiments
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Batch sorption reactors were prepared with a solid-to-water ratio of 10 g/L for all sorbents.
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Homoionic clays were created by washing (24 h) montmorillonite or illite three times with 1 M
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sodium chloride, or 0.5 M calcium chloride, followed by three washes with DI water to remove
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excess salt solution. Initial test compound concentrations (1 × 10-5 to 1 × 10-4 M) were chosen to
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achieve an extent of equilibrium sorption between 5 and 95%, along with surface coverage
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equivalent to less than 5% of the sorbent’s cation exchange capacity. For each test concentration,
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paired Cw and Cs values were obtained in triplicate and included a control set with no sorbent
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addition to infer initial compound concentration and to confirm the absence of other loss
143
processes. Sorbent-containing and sorbent-free reactors were prepared with background solutions
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of either 5 mM CaCl2, 20 mM NaCl or DI water, mixed for 24 hours in the dark, centrifuged, and
145
filtered (0.45 µm PVTF) before analysis of the supernatant aqueous concentration. Aqueous
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compound concentrations from the batch studies were determined using high pressure liquid
147
chromatography (Hewlett Packard HP 1050 outfitted with a C18 reverse phase column (Ultra
148
Aqueous, Restek) and a diode array detector). The system was operated with isocratic elution
149
with a mixture of solvents: (A) 20 mM phosphate buffer adjusted to pH 2.5 containing 4 mM
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triethylammonium hydroxide and (B) acetonitrile. Mobile phase of (A: 90%, B: 10%) was used
151
for
phenyltrimethylammonium
and
benzylamine,
(A:
60%,
B:
40%)
for
2,4
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dichlorobenzylamine, and (A: 75%, B: 25%) for oxytetracycline. Absorbance wavelength of 205
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nm was used for all compounds except oxytetracycline which was detected at 360 nm.
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Column packing
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Columns (30-mm length, 2.1-mm inner diameter, Restek #25118) were manually packed with
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a mixture of silicon carbide (SiC) and sorbent material for the ‘sorbent-SiC’ columns and with
157
SiC for the ‘SiC-only’ columns. SiC-to-sorbent ratios (Table 1) were chosen so that the center of
158
mass of the breakthrough curves for the test compounds was at least 1.5 times greater than for a
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non-retained tracer (NO3-) while minimizing peak spreading associated with extended compound
160
retention times. Also, each column was designed to have a sorbent-to-water ratio (Table 1) that
161
was within an order of magnitude of the 10 g/L used in the batch experiments. Dry SiC was
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passed through a 200 mesh sieve (74 µm) and wet-filtered through a 0.75 µm glass fiber filter to
163
remove fines so particle sizes ranged from 0.75 to 74 µm. Montmorillonite was used as received.
164
Illite and Iredell soil were ground using a motor and pestle and then passed through 200 mesh
165
sieve. Fines were not removed from sorbent materials. Columns were packed without a column
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vibrator using a procedure adapted from Bi et al.35 First, a mass of SiC and sorbent (typically 2 -
167
5 g of SiC, 10 - 50 mg sorbent) were combined together in a vial and vortexed for 2 minutes to
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blend the powders uniformly. An aliquot (10 – 20 mg) of the combined solid phase mixture was
169
manually packed in a column using a spatula and tapping the column sides to limit mounding.
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Periodically, the flat end of a thin rod was inserted into the column and used to lightly pack
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down material so that particles were not clumped. The mass of the solid mixture (sorbent + SiC)
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in the column was obtained from the difference in weights of the empty and packed sealed
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columns. After packing, the sealed column was oriented vertically and attached to the HPLC
174
pump with flow directed vertically upward and discharging to waste. The column was slowly
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filled with DI water (10 µL/min) to remove all air. The flow rate was then increased gradually by
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10 µL/min each hour to a final flowrate of 100 µL/min so that channeling within the packing
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material was minimized. Solid-to-water ratios assumed the column void space to be completely
178
saturated. The difference in transport time of a non-retained tracer (NO3-) through the system
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with a column in place and the tubing with no column attached was used to calculate the column
180
void space. The column void space was verified from the bulk density of the mixed column
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packing using the known mass ratio and solid phase densities of the SiC and the sorbent material.
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A comparative control column was packed entirely with SiC to verify that test compounds had
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no sorptive interactions with this inert solid.
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Table 1. Experimental Conditions used in the test columns. Column Name*
MMT-19
MMT-5
MMT-18B
ILL-53
IRE-23
Sorbent
Montmorillonite
Montmorillonite
Montmorillonite Illite
Iredell Soil
Void Space (µL)
45
45
45
63
48
Sorbent Mass (mg)
0.86
0.215
0.80
3.3
1.1
Sorbent-to-water ratio (g/L)
19
5
18
53
23
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* Number adjacent to the column name refers to the sorbent-to-water ratio; B refers to column
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packed at Bowdoin College; other columns were packed at U. Connecticut.
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Column Operation
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At U. Connecticut, packed columns were loaded into a standard HPLC system (Jasco PU-980
189
pump, AS-950 auto sampler, 40 µL injection loop, and MD-1510 multiwavelenth detector) with
190
tubing lengths minimized to reduce peak spreading. Aqueous phase solution chemistry was
191
fixed by the composition of column eluent solutions (Tab. 2). Aluminosilicate clay sorbents
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were converted to homoionic form (Ca- and Na-montmorillonite; Na-illite) by flushing the
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respective column with air-equilibrated (pH 6 ± 0.3) 5 mM CaCl2 or 20 mM NaCl for 24 hrs
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before compound injection. Compound sorption to Iredell soil was determined with DI water
195
adjusted to pH 5.2 (HCl). Only limited pre-flushing was performed for the Iredell soil column
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since the use of DI water as an experimental eluent could alter the natural exchangeable ions
197
over time. (We note that experimentation with soil sorbents that is more extensive than our four
198
isotherm points would require an eluent solution that matches expected soil pore water
199
concentrations of natural exchange ions.) The effect of flow rate on sorption was evaluated by
200
varying flowrates between 50 and 200 µL min-1. Subsequently, an operating flowrate of 100 µL
201
min-1 was used for all experiments.
202
Compound or tracer solutions were introduced to the column using an injection volume of 40
203
µL and detected at the column outlet using wavelengths as indicated for the discrete sample
204
analyses from the batch experiments. The concentration of test compound injected into the
205
column was varied from 2.6 × 10-5 to 2.6 × 10-4 M to create sorption isotherms over a similar
206
range of sorbate concentrations as used in the batch experiments. Triplicate injections of each
207
concentration were made for both the SiC-only and the sorbent-SiC columns. Absorbance vs.
208
time data collected following each injection were exported directly to a MATLAB routine to
209
calculate the paired aqueous phase and sorbed concentrations from the eluted compound peak in
210
the breakthrough curve.
211
A similar column packing and operation procedure was used for the Bowdoin College HPLC
212
system (Agilent 1100 Series, Quaternary Pump, Diode Array Detector, and 100 µL injection
213
loop). The Bowdoin College HPLC system was more sensitive to the operating conditions for
214
obtaining sorption isotherms. The low eluent pumping rate (100 µL min-1), combined with a
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slow syringe withdraw and eject speed (50 µL min-1) resulted in significant diffusional mixing of
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the compound with the mobile phase within the injection loop if it was partially filled. This
217
issue, not typically observed under normal analysis conditions (e.g., 1 mL min-1 flow rate), was
218
resolved by employing an injection volume of 100 µL to completely fill the injection loop.
219
Compounds with a single aromatic ring were detected at a wavelength of 210 nm (10 nm
220
bandwidth) because of high signal-to-noise ratios at lower detector wavelengths.
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Mass balance
222
Mass balance assessments for batch experiments were undertaken for benzylamine sorption on
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Ca-montmorillonite by adding CaCl2 salt to achieve a final concentration of 1 M and facilitate
224
competitive desorption. Samples were mixed for 24 hours in the dark, centrifuged, and filtered,
225
and an aliquot of the supernatant was removed for analysis by HPLC. Mass balance in the
226
column chromatography method was assessed by comparing the integrated compound peak areas
227
obtained with the ‘sorbent-SiC’ column with those from a ‘SiC-only’ column.
228
experimental approaches, mass balances within 5% were achieved, indicating the absence of any
229
other compound loss mechanisms for either sorption measurement techniques.
230
Isotherms
231
For both
Batch sorption experiments yielded equilibrium aqueous phase compound concentrations
232
directly.
Corresponding sorbed compound concentrations were calculated by difference as
233
outlined earlier.
234
Column sorption experiments required that sorption coefficients be calculated first using eluted
235
test compound peak characteristics, followed by extraction of the corresponding aqueous and
236
sorbed concentrations using a mass balance equation. For each compound mass injected, a Kd
237
value was calculated that corresponded to the center of mass (first moment33) or average travel
238
time of the compound peak eluted from the column33,36,42,43:
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ܭௗ =
ܸ ܳ ∗ ൣ൫ݐௗ − ݐ௧ ൯ − ൫ݐௗିௌ − ݐ௧ିௌ ൯൧ = ݉ ݉
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(3)
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where V (L) is the volume of eluent corresponding to the compound peak center of mass, m (mg)
240
is the column sorbent mass, and Q (L min-1) is the eluent flow rate. The bracketed term is the
241
effective travel time of the compound in contact with only the sorbent material in the ‘sorbent-
242
SiC’ column. Retention of the compound by the sorbent material was isolated from the overall
243
travel time through the ‘sorbent-SiC’ column (tcmpd – ttracer) by subtracting potential sorptive
244
interactions with SiC or other system components (tcmpd-SiC – ttracer-SiC). All times (ti, min) were
245
calculated by baseline-subtracting the pre-injection absorbance signal and then integrating the
246
corresponding peak to obtain the center-of-mass: tcmpd and tcmpd-SiC are the compound travel times
247
through the sorbent-SiC and SiC-only columns, respectively, and ttracer and ttracer-SiC are the
248
nitrate tracer travel times through sorbent-SiC and SiC-only columns, respectively. Sorption
249
coefficients obtained with Eq. 3 were used to obtain to theoretical effective aqueous and sorbed
250
concentrations for plotting as isotherm points36: ܥ௪ = ܥ௦ =
ܥ ∗ ܸ ܭௗ ∗ ݉ + ܸ
ܥ ∗ ܸ − ܥ௪ ∗ ܸ ݉
(4) (5)
251
where C0 (mM) is the concentration of the injected test compound solution and Vi (L) is the
252
injection volume. Cw and Cs represent average concentration values for the particular sorbate-
253
sorbent conditions because the Kd value used directly in Eq. 4 and indirectly, via Cw, in Eq. 5 was
254
obtained from the center of mass as the pulse traveled through the column.42,43
255
Paired Cw and Cs values were used to construct isotherms. For the purposes of evaluating
256
isotherm linearity, single-point Kd values were calculated for every paired Cs and Cw value from
257
batch experiments, or obtained directly from column experiments (Eq. 3).20 Although single-
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point Kd values for potentially non-linear isotherms have received criticism when inter-
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comparisons between compounds are not undertaken at the same Cw value, here, we use single
260
point Kd values to compare changes in slope within a single compound-sorbent isotherm. Kd
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values were considered to be in the linear range (n = 1 approximation valid) if the lowest two or
262
more consecutive aqueous concentrations yielded Kd values that were not significantly different
263
from one another. Reported ‘linear’ Kd values (Kd_Linear) are the average of the individual, single-
264
point Kd values in the linear range of the isotherm.
265 266
Variations in symmetry of eluted compound peaks were examined for all Cw values used to construct isotherms by comparing peak skewness, S44: ( ݔ− ߤ)ଷ ܵ= ߪଷ
(6)
267
where µ and σ are the mean and standard deviation of the individual points, x, of the
268
breakthrough curve.
269 270
RESULTS AND DISCUSSION
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Equilibrium Assessment in Column Studies
272
Evidence for equilibrium sorption conditions within the columns was obtained by examining
273
the effect of flow rate on the sorption of benzylamine to a Na-montmorillonite column. It is
274
known that organic cations sorb quickly to soils and aluminosilicate clay minerals in batch
275
experiments, reaching equilibrium within eight hours;45,46 however, these timescales are much
276
greater than the 3- to 15-minute compound residence times observed in our columns. Sorption
277
disequilibrium in flow-through columns has been evidenced by lower sorption coefficients and
278
greater peak tailing as column flow rates are increased.39 For the three eluent flow rates tested at
279
U. Connecticut, benzylamine sorption to Na-montmorillonite (MMT-19, Table 1) showed no
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significant difference in Kd values: The 50 µL min-1 flow rate yielded a Kd value of 62 ± 1 L kg-
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1
282
yielded a Kd value of 57 ± 5 L kg-1. Each of these values was not statistically different from the
283
Kd value of 61 ± 4 L kg-1 that was obtained from batch experiments, which had equilibrated for
284
24 hours (batch Cw values matched column conditions). Similarly, for the two eluent flow rates
285
tested in the Bowdoin College set up, phenyltrimethylammonium sorption to Ca-montmorillonite
286
(MMT-18B, Table 1) showed no significant difference in Kd values for flow rates of 50 µL min-1
287
(Kd = 126 ± 10 L/kg) and 100 µL min-1 (Kd = 124 ± 4 L/kg). These values were also close to the
288
Kd value of 132 ± 6 L/kg obtained in batch experiments. Greater tailing at the highest flow rate
289
(200 µL min-1) increased the measurement error (standard deviation of triplicate Kd
290
measurements) from 2% to 10%; therefore, 100 µL min-1 was used as the flow rate for all other
291
experiments. Previous researchers have also used 100 µL min-1 as an operating flowrate in
292
column chromatography to obtain sorption isotherms and sorption coefficients2,14; however, their
293
validation of equilibrium column conditions had not included higher column flow rates.
294
Isotherm Comparisons between Batch and Column Studies
, the 100 µL min-1 flow rate yielded a Kd value of 59 ± 1 L kg-1, and the 200 µL min-1 flow rate
295
The isotherms obtained from the column chromatography method reproduced the results from
296
conventional batch sorption experiments. Solid-to-water ratios of the sorbents in the column
297
were adjusted with SiC to match batch ratios so that direct comparisons at similar Cw values
298
could be made. Paired Cw and Cs values obtained from individual injections to the columns were
299
nearly identical to values obtained from batch reactors assembled under the same experimental
300
conditions (white v. black symbols, Fig. 1). In addition, paired Cw and Cs values obtained using
301
column chromatography at U. Connecticut and Bowdoin College were also nearly identical
302
(white squares without and with a plus, Fig 1A). Representative data shown in Fig. 1 includes
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compound-sorbent pairs chosen to validate the column chromatography method against batch
304
experiments under a range of sorption scenarios. First, we examined isotherms with differing n
305
values: Benzylamine sorption to Ca-montmorillonite (Fig. 1A) and phenyltrimethylammonium
306
sorption to Na-montmorillonite (Fig. 1B) exhibit Freundlich isotherms with (n > 1) because of
307
potential compound-compound interactions in the clay interlayers.20 Oxytetracycline sorption to
308
Na-montmorillonite (Fig. 1C) exhibits a traditional non-linear (n < 1) isotherm. Benzylamine
309
sorption to Iredell soil (Fig. 1D) and to illite (Fig. S1) are best described with linear isotherms.
310
Second, montmorillonite (Fig. 1A, B, C) and Iredell soil (Fig. 1D) both contain internal porosity
311
that could create mass transfer limitations with the shorter contact times for sorptive equilibrium
312
in column experiments, compared to batch reactors. The close match between column and batch
313
isotherms in each of these cases, as well as for additional compound-sorbent pairs (Fig. S1),
314
further confirms that equilibrium conditions established during column chromatography in two
315
different laboratory set-ups match those of conventional batch sorption experiments.
316
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Figure 1. Sorption isotherms obtained from column experiments match those obtained from
320
batch experiments for (A) benzylamine on Ca-montmorillonite, (B) phenyltrimethylammonium
321
on Na-montmorillonite, (C) oxytetracycline on Na-montmorillonite and (D) benzylamine on
322
Iredell soil. Black squares – batch data; white squares - column MMT-19 or IRE-23; white
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squares with black “+” – column MMT-18B; grey squares - column MMT-5. Where not visible,
324
error bars are smaller than the symbol size.
325 326
Agreement between column and batch methods was further supported by the observation that
327
isotherm parameter values (e.g., Kf and n) derived from regression fits to experimental batch
328
and column data were not statistically different (t-test, p > 0.05). Fitting the Freundlich equation
329
to paired Cw and Cs values gave similar Kf and n values for both methods for each of the eight
330
compound-sorbent pairs evaluated (Tab. 2). The one exception was oxytetracycline sorption to
331
Na-montmorillonite for which the three data points gave fits that were sensitive to small
332
variations in the sorbed concentration values. At low concentrations, where single point Kd
333
values were constant with Cw, Kd_Linear values were not statistically different between the two
334
methods either (Tab. 2). The standard deviation on isotherm parameters Kf and n or Kd_Linear
335
values were similar between the two methods (Tab. 2), although replicates of individual
336
concentration points showed greater reproducibility with the column chromatography method,
337
compared to replicate batch reactors.
338
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Table 2. Freundlich isotherm parameters (Kf and n exponent) and linear range sorption coefficients (Kd_Linear) obtained from batch and
340
column chromatography methods. Values in parentheses indicate data collected with Bowdoin College system. Compound
Solid
Background Solution
Batch Kf
Column Kf
Batch n
Column n
Batch Kd_Linear
Column Kd_Linear
Benzylamine
MMT
20 mM NaCl
98 ± 19§
105 ± 27
1.10 ± 0.05
1.14 ± 0.07
61 ± 4
59 ± 1
18 ± 6
27 ± 3
1.17 ± 0.03
1.10 ± 0.05
15 ± 2
17 ± 2
pH 6 Benzylamine
MMT
5 mM CaCl2
(29 ± 2)
(1.26 ± 0.02)
(12± 2.5)
pH 6 Benzylamine
IRE
DI pH 5.2
100 ± 60
115± 28
1.01 ± 0.41
1.01 ± 0.06
88 ± 8
96 ± 14
Benzylamine
ILL
20 mM NaCl
24 ± 3
27 ± 1
0.91 ± 0.03
0.93 ± 0.01
36 ± 3
38 ± 1
76800 ± 14700
65900 ± 4600
1.79 ± 0.16
1.74 ± 0.10
565 ± 62
556 ± 45
232 ± 32
201 ± 64
1.20 ± 0.05
1.12 ± 0.02
132 ± 6
131 ± 4
pH 6 Phenyltrimethylammonium
MMT
Phenyltrimethylammonium
MMT
20 mM NaCl pH 6 5 mM CaCl2
(194 ± 24)
(1.11 ± 0.01)
(133± 16)
pH 6
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Oxytetracycline
MMT
20 mM NaCl pH 6.5
27 ± 9
19 ± 1
0.44 ± 0.08
0.34 ± 0.04
449 ± 10
415 ± 26
2,4dichlorobenzylami ne
MMT
20 mM NaCl
108 ± 21
120 ± 10
1.08 ± 0.04
1.10 ± 0.04
67 ± 4
72 ± 3
§
pH 6
represents average value and standard deviation based on triplicate analyses
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Concentration ranges amenable to column chromatography
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The range of concentrations over which isotherms can be obtained by column
344
chromatography is set by physical limitations of the system detector. The lower concentration
345
bound of an isotherm is set by the limit of detection of the instrument which can be as low as 5 ×
346
10-7 M for modern absorbance detection. Low concentrations are also of concern for compounds
347
that exhibit high extents of sorption and consequently, long retention times. Long retention
348
times result in peak spreading that can lower compound absorbance to background levels. Such
349
situations can be addressed by reducing the ratio of sorbent to inert packing material in a column.
350
We evaluated isotherm consistency across columns with different sorbent ratios using
351
phenyltrimethylammonium, the most sorptive compound of the test compounds examined here.
352
Isotherm points obtained on a column with an effective solid-to-water ratio of 5 g/L of Na-
353
montmorillonite (MMT-5, grey squares, Fig. 1B) compared well to those obtained with a Na-
354
montmorillonite column packed with four times the mass of sorbent of 19 g/L (MMT-19, white
355
squares, Fig. 1B). Individual data points for the MMT-19 column showed greater measurement
356
errors as a result of greater peak spreading associated with the longer compound retention time
357
(MMT-19: 8-15 min, MMT-5: 3–6 min). Thus, adjustments of the sorbent-to-SiC ratio in the
358
chromatography columns will yield reproducible isotherms while enhancing peak detection via
359
shorter column retention times. Other means to improve detection of highly retained compounds
360
are discussed in the Supporting Information.
361
Our primary interest in this study was to obtain sorption measurements under conditions of
362
very low sorbent coverage (< 2% of cation exchange sites) that were within the linear range of
363
the isotherm.
364
benzylamine sorption to Na-montmorillonite up to 100% cation exchange site coverage. This
For completeness, we used the column chromatography method to examine
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compound, like other cationic aromatic amines, displays an ‘S-shaped’ non-linear isotherm that
366
curves away from the x-axis at low concentrations due to sorbate-sorbate cation-π interactions on
367
the surface, followed by curvature toward the x-axis as the sorbed concentration approaches the
368
cation exchange capacity.20 The complex S-shape isotherm for benzylamine sorption to Na-
369
montmorillonite previously observed in batch studies20 was successfully reproduced by our
370
column chromatography method (Fig. 2). Quantitative comparisons with previous batch studies
371
are not shown in Fig. 2 because of differences in clay mineral exchange ions (e.g. hetero vs.
372
homoionic clay minerals) between the two studies. Nevertheless, the data in Fig. 2 demonstrates
373
the ability of the column method to capture isotherm points up to full surface coverage without
374
reaching detector saturation at the high concentrations injected.
375 376
Figure 2. Isotherm ranging from 0.1 to 100 percent exchange site coverage for benzylamine on
377
Na-montmorillonite using column chromatography displays complex “S” shape. Dashed line
378
indicates cation exchange capacity of montmorillonite.
379 380
Breakthrough curve skewness as an indicator of non-linearity
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We explored the use of compound peak symmetry measures to bound the range of Cw values
382
over which isotherm linearity can be assumed (n = 1 valid). Kd_Linear values are often required for
383
calibrating predictive models.3,12,16 Such values are typically obtained by performing batch
384
experiments to collect isotherms and comparing single-point Kd values (Eq. 2) across these
385
extensive datasets. The labor-intensity of such an approach could be avoided if it were possible
386
to assess whether a Cw and Cs pair falls within the linear isotherm range, independent of the full
387
isotherm dataset. Accordingly, we investigated whether peak skewness measures might provide
388
such insights. Under transport conditions with local sorptive equilibrium, peak symmetry is non-
389
uniform when the Freundlich parameter deviates from n = 1.21,30,33,37-39 We postulated that such
390
a change in peak skewness might be observable across the set of points constituting an isotherm.
391 392
For our column operating conditions, the most appropriate comparative measure of peak symmetry was the fractional change in skewness, %∆S: %∆ܵ =
ܵ݇݁ݏݏ݁݊ݓ௦௧ିௌ − ܵ݇݁ݏݏ݁݊ݓௌ × 100%. ܵ݇݁ݏݏ݁݊ݓௌ
(7)
393
where Skewnessi is the calculated skewness for the compound peak on the respective ‘sorbent-
394
SiC’ and ‘SiC-only’ columns. A difference measure was implemented because peak asymmetry
395
was observed for eluted peaks of both the tracer and test compounds on the non-sorptive ‘SiC-
396
only’ column. This asymmetry likely originated from the injection volumes being greater than
397
1/6 of the column volume47 and skewness values were the same for all compounds on the ‘SiC-
398
only’ column. Skewness measures for the non-retained tracer were the same for the system: (i)
399
without a column attached, (ii) with the ‘SiC-only’ column, and (iii) with the ‘sorbent-SiC’
400
columns, indicating column packing to be homogenous and consistent across the different
401
column preparations (Table S1). Further, for each compound, the same peak skewness was
402
calculated at all injected concentrations less than 2 mM on the ‘SiC-only’ column. The only
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exceptions were the three highest concentrations (6 mM to 20 mM) used to obtain the
404
benzylamine isotherm (Fig. 2). Thus, we concluded that variations in %∆S across the isotherm
405
for a given test compound could be ascribed to variations in equilibrium Kd and that the %∆S
406
parameter could be used to assess isotherm non-linearity.
407
The fractional change in peak skewness appears to be a robust indicator of single-point Kd
408
linearity. Single-point Kd values were normalized to the average Kd-Linear to assess the fractional
409
deviation from linearity: %∆ܭௗ =
ܭௗ,௧ − ܭௗ, × 100%. ܭௗ,
(8)
410
Only paired Cw and Cs values that had a small fractional change in skewness less than |± 4%|
411
were from the linear range of the sorption isotherm (i.e., %∆Kd ~ 0) (white symbols, Fig. 3).
412
Although the absolute skewness values were distinct for measurements made at U. Connecticut
413
(1.5) and Bowdoin (2.5), a %∆S less than an absolute value of 4% for experiments conducted at
414
either location indicated that sorption was in the linear range of the isotherm (Fig. 3A). For high
415
concentration points of compound-sorbent pairs from isotherms with Freundlich exponents n > 1
416
(i.e., %∆Kd > 1), %∆S exhibited negative values and fell in the upper left quadrant of Fig. 3B.
417
On the other hand, high concentration points for isotherms with n < 1 (i.e., %∆Kd < 1), %∆S
418
exhibited positive values and fell in the lower right quadrant (Fig. 3B). From this analysis it is
419
clear that %∆S for a given concentration injection that is more positive, or more negative, than
420
4% is indicative of sorption in the non-linear range of the sorption isotherm. Therefore, the
421
relative change in skewness can be used to bound the linear range of a sorption isotherm.
422
Outlook
423
The indication of linear range sorption coefficients for non-heterocyclic compounds,
424
coupled with the already reduced labor-intensity compared to traditional batch experiments,
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makes column chromatography an efficient, robust tool to collect sorption coefficients of organic
426
cations. We revisited column chromatography as a technique to obtain sorption coefficients for
427
environmental solids because it has been underutilized in sorption studies. Yet, the labor-saving
428
benefits of measuring sorption coefficients and isotherms via column chromatography are
429
advantageous to studies that require sorbate characterization for large sets of compounds, such as
430
by regulatory agencies. This this end, we detail in the Supplemental Information a strategy for
431
successful implementation of column chromatography by other experimentalists, based upon our
432
efforts to transfer the technique between labs. Finally, the availability of a quantitative
433
parameter (%∆S) to bound isotherm linearity will be beneficial in the development of descriptive
434
sorption models for ionizable compounds with a limited concentration range of isotherm
435
linearity.
436 437 438
439 440
Figure 3. Relationship between %∆Kd and %∆S for (A) paired Cs and Cw values near the
441
linear range of the sorption isotherm and (B) all sorbate-sorbent pairs in linear and non-linear
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range shows that changes in skewness of less than |± 4%| were associated with single-point Kd
443
values that varied by 5% or less from independently assessed ‘linear’ Kd values (white circles, U.
444
Connecticut; grey circles, Bowdoin College).
445
ASSOCIATED CONTENT
446
Supporting Information. A guide to implementing column chromatography onto new systems,
447
a discussion on possible improvement in peak detections, comparison of peak skewness as it
448
relates to column homogeneity, and additional isotherms comparing column chromatography
449
with batch experiments are available in the Supplemental Information. The Matlab code is
450
available on request. This material is available free of charge via the Internet at
451
http://pubs.acs.org.
452
AUTHOR INFORMATION
453
Corresponding Author
454
*
[email protected] 455
Author Contributions
456
The manuscript was written through contributions of all authors. All authors have given approval
457
to the final version of the manuscript.
458
ACKNOWLEDGMENT
459
The authors acknowledge funding from the NSF through CHE Grants #1404998 and #1404459.
460
We thank the three anonymous reviewers for their constructive comments which helped us
461
improve the manuscript.
462
Table of Contents Graphic
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1. U.S. Environmental Protection Agency Estimation Programs Interface Suite for Microsoft Windows (EPISUITE), Washington, DC, 2012; Version 4.11.
467 468
2. Bi, E.; Schmidt, T.C.; Haderlein, S.B. Environmental factors influencing sorption of heterocyclic aromatic compounds to soil. Environ. Sci. Technol. 2007, 41 (9), 3172-3178.
469 470 471
3. Droge, S. and Goss, K. Development and Evaluation of a New Sorption Model for Organic Cations in Soil: Contributions from Organic Matter and Clay Minerals. Environ. Sci. Technol. 2013, 47 (24), 14233-14241.
472 473 474
4. Droge, S. and Goss, K. Ion-Exchange Affinity of Organic Cations to Natural Organic Matter: Influence of Amine Type and Nonionic Interactions at Two Different pHs. Environ. Sci. Technol. 2013, 47 798-806.
475 476 477
5. Williams, M.; Ong, P.L.; William, D.B.; Kookana, R.S. Estimating the Sorption of Pharmaceuticals Based on their Pharmacological Distribution. Environ. Toxicol. Chem. 2009, 28 (12), 2572-2579.
478 479
6. Tolls, J. Sorption of Veterinary Pharmaceuticals in Soils: A Review. Environ. Sci. Technol. 2001, 35 (17), 3397-3406.
480 481 482 483
7. Kolpin, D.W.; Furlong, E.T.; Meyer, M.T.; Thurman, E.M.; Zaugg, S.D.; Barber, L.B.; Buxton, H.T. Pharmaceuticals, Hormones, and Other Organic Wastewater Contaminants in U.S. Streams, 1999−2000, A National Reconnaissance. Environ. Sci. Technol. 2002, 36 (6), 12021211.
ACS Paragon Plus Environment
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Page 27 of 30
Environmental Science & Technology
484 485
8. Sim, W.; Lee, J.; Oh, J. Occurrence and fate of pharmaceuticals in wastewater treatment plants and rivers in Korea. Environ. Poll. 2010, 158 (5), 1938-1947.
486 487
9. Zuccato, E.; Castiglioni, S.; Bagnati, R.; Chiabrando, C.; Grassi, P.; Fanelli, R. Illicit drugs, a novel group of environmental contaminants. Water Res. 2008, 42 (4), 961-968.
488 489 490
10. Droge, S. and Goss, K. Sorption of Organic Cations to Phyllosilicate Clay Minerals: CECNormalization, Salt Dependency, and the Role of Electrostatic and Hydrophobic Effects. Environ. Sci. Technol. 2013, 47 (24), 14224-14232.
491 492 493
11. Jadbabaei, N. and Zhang, H. Sorption Mechanism and Predictive Models for Removal of Cationic Organic Contaminants by Cation Exchange Resins. Environ. Sci. Technol. 2014, 48 (24), 14572-14581.
494 495 496
12. Samaraweera, M.; Jolin, W.; Vasudevan, D.; MacKay, A.A.; Gascon, J.A. Atomistic Prediction of Sorption Free Energies of Cationic Aromatic Amines on Montmorillonite: A Linear Interaction Energy Method. Environ. Sci. Technol. Lett. 2014, 1 (6), 284-289.
497 498 499
13. Zhang, H.; Shields, A.J.; Jadbabaei, N.; Nelson, M.; Pan, B.; Suri, R.P.S. Understanding and Modeling Removal of Anionic Organic Contaminants (AOCs) by Anion Exchange Resins. Environ. Sci. Technol. 2014, 48 (13), 7494-7502.
500 501
14. Droge, S. and Goss, K. Effect of Sodium and Calcium Cations on the Ion-Exchange Affinity of Organic Cation for Soil Organic Matter. Environ. Sci. Technol. 2012, 46 (11), 5894-5901.
502 503 504
15. MacKay, A. and Vasudevan, D. Polyfunctional Ionogenic Compound Sorption: Challenges and New Approaches To Advance Predictive Models. Environ. Sci. Technol. 2012, 46 92099223.
505 506
16. Endo, S. and Goss, K. Applications of Polyparameter Linear Free Energy Relationships in Environmental Chemistry. Environ. Sci. Technol. 2014, 48 (21), 12477-12491.
507 508
17. Chiou, C.T.; Peters, L.J.; Freed, V.H. A physical concept of soil-water equilibria for nonionic organic compounds. Science 1979, 206 (4420), 831-832.
509 510
18. Chiou, C.T.; Porter, P.E.; Schmedding, D.W. Partition equilibriums of nonionic organic compounds between soil organic matter and water. Environ. Sci. Technol. 1983, 17 (4), 227-231.
511 512 513
19. Carrasquillo, A.; Bruland, G.; MacKay, A.; Vasudevan, D. Sorption of Ciprofloxacin and Oxytetracycline Zwitterions to Soils and Soil Minerals: Influence of Compound Structure. Environ. Sci. Technol. 2008, 42 7634-7642.
514 515 516
20. Vasudevan, D.; Arey, T.; Dickstein, D.; Newman, M.; Zhang, T.; Kinnear, H.; Bader, M. Nonlinearity of Cationic Aromatic Amine Sorption to Alminosilicates and Soils: Role of Intermolecular Cation-pi Interactions. Environ. Sci. Technol. 2013, 47 (24), 14119-14127.
ACS Paragon Plus Environment
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Environmental Science & Technology
Page 28 of 30
517 518 519
21. Spurlock, F.C.; Huang, K.; van Genuchten, M.T. Isotherm nonlinearity and nonequilibrium sorption effects on transport of fenuron and monuron in soil columns. Environ. Sci. Technol. 1995, 29 (4), 1000-1007.
520 521
22. Weber, W.J. and Usinowics, P. Adsorption from aqueous solution. American Chemical Society: 1968.
522 523 524
23. Holmén, B.A. and Gschwend, P.M. Estimating sorption rates of hydrophobic organic compounds in iron oxide-and aluminosilicate clay-coated aquifer sands. Environ. Sci. Technol. 1996, 31 (1), 105-113.
525 526 527
24. Roberts, P.V.; Goltz, M.N.; Mackay, D.M. A natural gradient experiment on solute transport in a sand aquifer: 3. Retardation estimates and mass balances for organic solutes. Water Resour. Res. 1986, 22 (13), 2047-2058.
528 529 530
25. Van Genuchten, M.T.; Wierenga, P.; Klute, A. Solute dispersion coefficients and retardation factors. In Methods of Soil Analysis: Part 1—Physical and Mineralogical Methods, American Society of Agronomy, Inc.: Madison, WI, 1986; pp. 1025-1054.
531 532
26. Relyea, J.F. Theoretical and experimental considerations for the use of the column method for determining retardation factors. Radioact. Waste Manage. Nucl. Fuel Cycle 1982, 151-166.
533 534 535
27. Porro, I.; Newman, M.E.; Dunnivant, F.M. Comparison of batch and column methods for determining strontium distribution coefficients for unsaturated transport in basalt. Environ. Sci. Technol. 2000, 34 (9), 1679-1686.
536 537 538
28. Fouquet, Y.; von Stackelberg, U.; Charlou, J.L.; Donval, J.P.; Foucher, J.P.; Erzinger, J.; Herzig, P.; Mühe, R.; Wiedicke, M.; Soakai, S. Hydrothermal activity in the Lau back-arc basin: Sulfides and water chemistry. Geology 1991, 19 (4), 303-306.
539 540
29. Wang, T.; Li, M.; Teng, S. Bridging the gap between batch and column experiments: A case study of Cs adsorption on granite. J. Hazard. Mater. 2009, 161 (1), 409-415.
541 542 543
30. Bürgisser, C.S.; Cernik, M.; Borkovec, M.; Sticher, H. Determination of nonlinear adsorption isotherms from column experiments: An alternative to batch studies. Environ. Sci. Technol. 1993, 27 (5), 943-948.
544 545 546
31. Maclntyre, W.G.; Stauffer, T.B.; Antworth, C.P. A comparison of sorption coefficients determined by batch, column, and box methods on a low organic carbon aquifer material. Groundwater 1991, 29 (6), 908-913.
547 548 549
32. Allen, H.E.; Chen, Y.; Li, Y.; Huang, C.; Sanders, P.F. Soil partition coefficients for Cd by column desorption and comparison to batch adsorption measurements. Environ. Sci. Technol. 1995, 29 (8), 1887-1891.
ACS Paragon Plus Environment
28
Page 29 of 30
Environmental Science & Technology
550 551
33. Valocchi, A.J. Validity of the local equilibrium assumption for modeling sorbing solute transport through homogeneous soils. Water Resour. Res. 1985, 21 (6), 808-820.
552 553
34. OECD Test No. 106: Adsorption -- Desorption Using a Batch Equilibrium Method. Organization for Economic Co-operation and Development: 2000.
554 555
35. Bi, E.; Schmidt, T.C.; Haderlein, S.B. Practical issues relating to soil column chromatography for sorption parameter determination. Chemosphere 2010, 80 (7), 787-793.
556 557 558 559
36. Schenzel, J.; Goss, K.; Schwarzenbach, R.P.; Bucheli, T.D.; Droge, S.T. Experimentally Determined Soil Organic Matter–Water Sorption Coefficients for Different Classes of Natural Toxins and Comparison with Estimated Numbers. Environ. Sci. Technol. 2012, 46 (11), 61186126.
560 561
37. Bi, E.; Zhang, L.; Schmidt, T.C.; Haderlein, S.B. Simulation of nonlinear sorption of Nheterocyclic organic contaminates in soil columns. J. Contam. Hydrol. 2009, 107 (1), 58-65.
562 563 564
38. Fesch, C.; Simon, W.; Haderlein, S.B.; Reichert, P.; Schwarzenbach, R.P. Nonlinear sorption and nonequilibrium solute transport in aggregated porous media: Experiments, process identification and modeling. J. Contam. Hydrol. 1998, 31 (3), 373-407.
565 566 567
39. Altfelder, S.; Streck, T.; Maraqa, M.A.; Voice, T.C. Nonequilibrium sorption of dimethylphthalate—Compatibility of batch and column techniques. Soil Sci. Soc. Am. J. 2001, 65 (1), 102-111.
568 569
40. Bronner, G. and Goss, K. Sorption of organic chemicals to soil organic matter: influence of soil variability and pH dependence. Environ. Sci. Technol. 2010, 45 (4), 1307-1312.
570 571
41. Tülp, H.C.; Fenner, K.; Schwarzenbach, R.P.; Goss, K. pH-dependent sorption of acidic organic chemicals to soil organic matter. Environ. Sci. Technol. 2009, 43 (24), 9189-9195.
572
42. Jonsson, J.A. Chromatographic theory and basic principles. CRC Press: 1987.
573 574
43. Helfferich, F. Travel of molecules and disturbances in chromatographic columns: A paradox and its resolution. J. Chem. Educ. 1964, 41 (8), 410.
575 576
44. MacGillivray, H. Skewness and asymmetry: measures and orderings. Ann. of Stat. 1986, 9941011.
577 578
45. Jones, A.D.; Bruland, G.L.; Agrawal, S.G.; Vasudevan, D. Factors influencing the sorption of oxytetracycline to soils. Environ. Toxicol. Chem. 2005, 24 (4), 761-770.
579 580
46. Brownawell, B.; Chen, H.; Collier, J.; Westall, J. Adsorption of Organic Cations to Natural Materials. Environ. Sci. Technol. 1990, 24 (8), 1234-1241.
581
47. Kromidas, S. More practical problem solving in HPLC. John Wiley & Sons: 2008.
ACS Paragon Plus Environment
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Environmental Science & Technology
Page 30 of 30
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